Overview

Brought to you by YData

Dataset statistics

Number of variables62
Number of observations152
Missing cells937
Missing cells (%)9.9%
Total size in memory113.7 KiB
Average record size in memory766.1 B

Variable types

Text10
Numeric49
DateTime3

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w3_experimentidexperimentid
w3_lastpagelastpage
w3_submitdatesubmitdate
w3_startlanguagestartlanguage
w3_startdatestartdate
w3_datestampdatestamp
w3_refurlrefurl
w3_A01Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx
w3_A02w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]
w3_A02_otherOn which of the following smartphone brands have you installed and compiled the app? Answer: Other_
w3_A03Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________
w3_A03_otherDid you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________
w3_A04 [If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________
w3_A05 Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No
w3_A06[If w3_A05 = 1] What activities could you not place? ________________
w3_A07Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________
w3_A07_otherWhich of the following components would you like to see implemented?
w3_A08Other considerations about the experiment________________
w3_B01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.
w3_B01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
w3_B01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.
w3_B01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.
w3_B01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.
w3_B01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.
w3_B01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me
w3_B01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.
w3_B01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
w3_B01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.
w3_B01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.
w3_B01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.
w3_B01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.
w3_B01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)
w3_B01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.
w3_B01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.
w3_B01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.
w3_B01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.
w3_B01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.
w3_B01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune
w3_B01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.
w3_B01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.
w3_B01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.
w3_B01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.
w3_B01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.
w3_B01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.
w3_B01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.
w3_B01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.
w3_B01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.
w3_B01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.
w3_B01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.
w3_B01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.
w3_B01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.
w3_B01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.
w3_B01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.
w3_C01As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No
w3_C02What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0
w3_D01In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities
w3_interviewtimeinterviewtime
w3_GT_A
w3_GT_B
w3_GT_C
w3_GT_D

Alerts

w3_experimentid has constant value "wenetMongolia" Constant
w3_startlanguage has constant value "mn" Constant
w3_submitdate has 3 (2.0%) missing values Missing
w3_refurl has 113 (74.3%) missing values Missing
w3_A02_other has 129 (84.9%) missing values Missing
w3_A03_other has 144 (94.7%) missing values Missing
w3_A04 has 107 (70.4%) missing values Missing
w3_A06 has 101 (66.4%) missing values Missing
w3_A07 has 2 (1.3%) missing values Missing
w3_A07_other has 144 (94.7%) missing values Missing
w3_A08 has 51 (33.6%) missing values Missing
w3_B01_1 has 4 (2.6%) missing values Missing
w3_B01_2 has 3 (2.0%) missing values Missing
w3_B01_3 has 3 (2.0%) missing values Missing
w3_B01_4 has 3 (2.0%) missing values Missing
w3_B01_5 has 3 (2.0%) missing values Missing
w3_B01_6 has 3 (2.0%) missing values Missing
w3_B01_7 has 3 (2.0%) missing values Missing
w3_B01_8 has 3 (2.0%) missing values Missing
w3_B01_9 has 4 (2.6%) missing values Missing
w3_B01_10 has 4 (2.6%) missing values Missing
w3_B01_11 has 3 (2.0%) missing values Missing
w3_B01_12 has 3 (2.0%) missing values Missing
w3_B01_13 has 3 (2.0%) missing values Missing
w3_B01_14 has 3 (2.0%) missing values Missing
w3_B01_15 has 3 (2.0%) missing values Missing
w3_B01_16 has 3 (2.0%) missing values Missing
w3_B01_17 has 3 (2.0%) missing values Missing
w3_B01_18 has 3 (2.0%) missing values Missing
w3_B01_19 has 3 (2.0%) missing values Missing
w3_B01_20 has 3 (2.0%) missing values Missing
w3_B01_21 has 5 (3.3%) missing values Missing
w3_B01_22 has 3 (2.0%) missing values Missing
w3_B01_23 has 4 (2.6%) missing values Missing
w3_B01_24 has 3 (2.0%) missing values Missing
w3_B01_25 has 4 (2.6%) missing values Missing
w3_B01_26 has 3 (2.0%) missing values Missing
w3_B01_27 has 3 (2.0%) missing values Missing
w3_B01_28 has 3 (2.0%) missing values Missing
w3_B01_29 has 3 (2.0%) missing values Missing
w3_B01_30 has 3 (2.0%) missing values Missing
w3_B01_31 has 3 (2.0%) missing values Missing
w3_B01_32 has 3 (2.0%) missing values Missing
w3_B01_33 has 3 (2.0%) missing values Missing
w3_B01_34 has 3 (2.0%) missing values Missing
w3_B01_35 has 4 (2.6%) missing values Missing
w3_C01 has 3 (2.0%) missing values Missing
w3_C02 has 14 (9.2%) missing values Missing
w3_D01 has 3 (2.0%) missing values Missing
w3_GT_B has 3 (2.0%) missing values Missing
w3_GT_C has 3 (2.0%) missing values Missing
w3_GT_D has 4 (2.6%) missing values Missing
token has unique values Unique
w3_startdate has unique values Unique
w3_datestamp has unique values Unique
w3_interviewtime has unique values Unique
w3_GT_A has unique values Unique

Reproduction

Analysis started2025-02-26 16:48:09.940400
Analysis finished2025-02-26 16:48:10.146335
Duration0.21 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2025-02-26T17:48:10.289839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters2280
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)100.0%

Sample

1st row04H7TuATLTMhnJk
2nd row0Jq9gU36K5hjk2N
3rd row1Kj604QCgpcMQ4h
4th row2mDezBf3v7ie8pw
5th row2zBCP3Y5Pv3Rktf
ValueCountFrequency (%)
04h7tuatltmhnjk 1
 
0.7%
0jq9gu36k5hjk2n 1
 
0.7%
1kj604qcgpcmq4h 1
 
0.7%
2mdezbf3v7ie8pw 1
 
0.7%
2zbcp3y5pv3rktf 1
 
0.7%
34a7zi3wk3goi5e 1
 
0.7%
3avxzsemlbnqpvh 1
 
0.7%
49ufkulqq07rxgz 1
 
0.7%
4a90fkkijirbpp2 1
 
0.7%
4adaxeli4drq0qf 1
 
0.7%
Other values (142) 142
93.4%
2025-02-26T17:48:10.501180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 76
 
3.3%
z 75
 
3.3%
6 47
 
2.1%
4 45
 
2.0%
B 45
 
2.0%
V 45
 
2.0%
Q 44
 
1.9%
j 43
 
1.9%
T 42
 
1.8%
k 42
 
1.8%
Other values (52) 1776
77.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2280
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 76
 
3.3%
z 75
 
3.3%
6 47
 
2.1%
4 45
 
2.0%
B 45
 
2.0%
V 45
 
2.0%
Q 44
 
1.9%
j 43
 
1.9%
T 42
 
1.8%
k 42
 
1.8%
Other values (52) 1776
77.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2280
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 76
 
3.3%
z 75
 
3.3%
6 47
 
2.1%
4 45
 
2.0%
B 45
 
2.0%
V 45
 
2.0%
Q 44
 
1.9%
j 43
 
1.9%
T 42
 
1.8%
k 42
 
1.8%
Other values (52) 1776
77.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2280
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 76
 
3.3%
z 75
 
3.3%
6 47
 
2.1%
4 45
 
2.0%
B 45
 
2.0%
V 45
 
2.0%
Q 44
 
1.9%
j 43
 
1.9%
T 42
 
1.8%
k 42
 
1.8%
Other values (52) 1776
77.9%

w3_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2025-02-26T17:48:10.581465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters1976
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetMongolia
2nd rowwenetMongolia
3rd rowwenetMongolia
4th rowwenetMongolia
5th rowwenetMongolia
ValueCountFrequency (%)
wenetmongolia 152
100.0%
2025-02-26T17:48:10.693072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 304
15.4%
n 304
15.4%
o 304
15.4%
w 152
7.7%
t 152
7.7%
M 152
7.7%
g 152
7.7%
l 152
7.7%
i 152
7.7%
a 152
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1976
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 304
15.4%
n 304
15.4%
o 304
15.4%
w 152
7.7%
t 152
7.7%
M 152
7.7%
g 152
7.7%
l 152
7.7%
i 152
7.7%
a 152
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1976
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 304
15.4%
n 304
15.4%
o 304
15.4%
w 152
7.7%
t 152
7.7%
M 152
7.7%
g 152
7.7%
l 152
7.7%
i 152
7.7%
a 152
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1976
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 304
15.4%
n 304
15.4%
o 304
15.4%
w 152
7.7%
t 152
7.7%
M 152
7.7%
g 152
7.7%
l 152
7.7%
i 152
7.7%
a 152
7.7%

w3_lastpage
Real number (ℝ)

lastpage

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.940789474
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:10.732526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4186631615
Coefficient of variation (CV)0.1062383982
Kurtosis47.26658439
Mean3.940789474
Median Absolute Deviation (MAD)0
Skewness-6.974580686
Sum599
Variance0.1752788428
MonotonicityNot monotonic
2025-02-26T17:48:10.769648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
4 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
4 149
98.0%
ValueCountFrequency (%)
4 149
98.0%
1 3
 
2.0%

w3_submitdate
Date

Missing 

submitdate

Distinct149
Distinct (%)100.0%
Missing3
Missing (%)2.0%
Memory size1.3 KiB
Minimum2020-11-27 07:03:27
Maximum2020-12-15 04:47:22
2025-02-26T17:48:10.816841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:48:10.874731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w3_startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2025-02-26T17:48:10.910727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters304
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmn
2nd rowmn
3rd rowmn
4th rowmn
5th rowmn
ValueCountFrequency (%)
mn 152
100.0%
2025-02-26T17:48:10.980557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 152
50.0%
n 152
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 304
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 152
50.0%
n 152
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 304
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 152
50.0%
n 152
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 304
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 152
50.0%
n 152
50.0%

w3_startdate
Date

Unique 

startdate

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2020-11-27 06:58:47
Maximum2020-12-15 04:31:09
2025-02-26T17:48:11.028832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:48:11.087198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w3_datestamp
Date

Unique 

datestamp

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2020-11-27 07:03:27
Maximum2020-12-15 04:47:22
2025-02-26T17:48:11.143584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:48:11.201209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w3_refurl
Text

Missing 

refurl

Distinct2
Distinct (%)5.1%
Missing113
Missing (%)74.3%
Memory size1.8 KiB
2025-02-26T17:48:11.278195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.15384615
Min length4

Characters and Unicode

Total characters435
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 31
79.5%
mail 8
 
20.5%
2025-02-26T17:48:11.388799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 70
16.1%
i 70
16.1%
d 62
14.3%
m 39
9.0%
l 39
9.0%
n 31
7.1%
r 31
7.1%
o 31
7.1%
- 31
7.1%
g 31
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 435
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 70
16.1%
i 70
16.1%
d 62
14.3%
m 39
9.0%
l 39
9.0%
n 31
7.1%
r 31
7.1%
o 31
7.1%
- 31
7.1%
g 31
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 435
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 70
16.1%
i 70
16.1%
d 62
14.3%
m 39
9.0%
l 39
9.0%
n 31
7.1%
r 31
7.1%
o 31
7.1%
- 31
7.1%
g 31
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 435
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 70
16.1%
i 70
16.1%
d 62
14.3%
m 39
9.0%
l 39
9.0%
n 31
7.1%
r 31
7.1%
o 31
7.1%
- 31
7.1%
g 31
7.1%

w3_A01
Real number (ℝ)

Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:11.429533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3318122025
Coefficient of variation (CV)0.176966508
Kurtosis3.28928092
Mean1.875
Median Absolute Deviation (MAD)0
Skewness-2.290452232
Sum285
Variance0.1100993377
MonotonicityNot monotonic
2025-02-26T17:48:11.468499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 133
87.5%
1 19
 
12.5%
ValueCountFrequency (%)
1 19
 
12.5%
2 133
87.5%
ValueCountFrequency (%)
2 133
87.5%
1 19
 
12.5%

w3_A02
Real number (ℝ)

w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.302631579
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:11.503785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q34
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.855864068
Coefficient of variation (CV)0.4313323217
Kurtosis0.5792358671
Mean4.302631579
Median Absolute Deviation (MAD)0
Skewness0.795394628
Sum654
Variance3.44423144
MonotonicityNot monotonic
2025-02-26T17:48:11.541791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 97
63.8%
8 25
 
16.4%
3 16
 
10.5%
1 13
 
8.6%
5 1
 
0.7%
ValueCountFrequency (%)
1 13
 
8.6%
3 16
 
10.5%
4 97
63.8%
5 1
 
0.7%
8 25
 
16.4%
ValueCountFrequency (%)
8 25
 
16.4%
5 1
 
0.7%
4 97
63.8%
3 16
 
10.5%
1 13
 
8.6%

w3_A02_other
Text

Missing 

On which of the following smartphone brands have you installed and compiled the app? Answer: Other_

Distinct13
Distinct (%)56.5%
Missing129
Missing (%)84.9%
Memory size1.4 KiB
2025-02-26T17:48:11.592635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length11
Median length2
Mean length4.217391304
Min length2

Characters and Unicode

Total characters97
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)52.2%

Sample

1st rowLG G6
2nd rowPixel
3rd rowLG
4th rowLG G7 thinQ
5th rowLG
ValueCountFrequency (%)
lg 13
41.9%
redmi 2
 
6.5%
g6 1
 
3.2%
pixel 1
 
3.2%
g7 1
 
3.2%
thinq 1
 
3.2%
10 1
 
3.2%
x 1
 
3.2%
real 1
 
3.2%
me 1
 
3.2%
Other values (8) 8
25.8%
2025-02-26T17:48:11.689236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 16
16.5%
L 13
13.4%
e 10
 
10.3%
8
 
8.2%
i 7
 
7.2%
l 4
 
4.1%
m 4
 
4.1%
o 4
 
4.1%
R 3
 
3.1%
d 3
 
3.1%
Other values (21) 25
25.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 97
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
G 16
16.5%
L 13
13.4%
e 10
 
10.3%
8
 
8.2%
i 7
 
7.2%
l 4
 
4.1%
m 4
 
4.1%
o 4
 
4.1%
R 3
 
3.1%
d 3
 
3.1%
Other values (21) 25
25.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 97
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
G 16
16.5%
L 13
13.4%
e 10
 
10.3%
8
 
8.2%
i 7
 
7.2%
l 4
 
4.1%
m 4
 
4.1%
o 4
 
4.1%
R 3
 
3.1%
d 3
 
3.1%
Other values (21) 25
25.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 97
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
G 16
16.5%
L 13
13.4%
e 10
 
10.3%
8
 
8.2%
i 7
 
7.2%
l 4
 
4.1%
m 4
 
4.1%
o 4
 
4.1%
R 3
 
3.1%
d 3
 
3.1%
Other values (21) 25
25.8%

w3_A03
Real number (ℝ)

Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.328947368
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:11.734571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.890289987
Coefficient of variation (CV)0.811649938
Kurtosis-0.9674794544
Mean2.328947368
Median Absolute Deviation (MAD)0
Skewness0.8863828655
Sum354
Variance3.573196236
MonotonicityNot monotonic
2025-02-26T17:48:11.772685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 97
63.8%
5 22
 
14.5%
6 13
 
8.6%
4 12
 
7.9%
3 5
 
3.3%
2 3
 
2.0%
ValueCountFrequency (%)
1 97
63.8%
2 3
 
2.0%
3 5
 
3.3%
4 12
 
7.9%
5 22
 
14.5%
ValueCountFrequency (%)
6 13
8.6%
5 22
14.5%
4 12
7.9%
3 5
 
3.3%
2 3
 
2.0%

w3_A03_other
Text

Missing 

Did you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________

Distinct8
Distinct (%)100.0%
Missing144
Missing (%)94.7%
Memory size2.1 KiB
2025-02-26T17:48:11.897154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length124
Median length40.5
Mean length61.125
Min length16

Characters and Unicode

Total characters489
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowДата илгээж чадахгүй байсан
2nd rowLogoo ilgeej yruusuu chaddgve ugni deerni draad udurjingu baingiin wifid holbootoi bgd bgn enn dr l jhn asuudal garjn
3rd rowУтас гэнэт унтраад серверт дата очихгүй байх л асуудал байв. Цэнэглэгчээ ойр байлгааыг хичээнэ ээ.
4th rowsync hiij chadahgui baina.
5th rowЦаг тутам бөглөх
ValueCountFrequency (%)
дата 3
 
3.9%
байсан 3
 
3.9%
ч 2
 
2.6%
илгээж 1
 
1.3%
чадахгүй 1
 
1.3%
logoo 1
 
1.3%
ilgeej 1
 
1.3%
yruusuu 1
 
1.3%
chaddgve 1
 
1.3%
ugni 1
 
1.3%
Other values (62) 62
80.5%
2025-02-26T17:48:12.076329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
14.1%
а 49
 
10.0%
э 28
 
5.7%
г 19
 
3.9%
т 18
 
3.7%
й 15
 
3.1%
л 14
 
2.9%
х 14
 
2.9%
i 14
 
2.9%
р 13
 
2.7%
Other values (45) 236
48.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 489
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
69
 
14.1%
а 49
 
10.0%
э 28
 
5.7%
г 19
 
3.9%
т 18
 
3.7%
й 15
 
3.1%
л 14
 
2.9%
х 14
 
2.9%
i 14
 
2.9%
р 13
 
2.7%
Other values (45) 236
48.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 489
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
69
 
14.1%
а 49
 
10.0%
э 28
 
5.7%
г 19
 
3.9%
т 18
 
3.7%
й 15
 
3.1%
л 14
 
2.9%
х 14
 
2.9%
i 14
 
2.9%
р 13
 
2.7%
Other values (45) 236
48.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 489
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
69
 
14.1%
а 49
 
10.0%
э 28
 
5.7%
г 19
 
3.9%
т 18
 
3.7%
й 15
 
3.1%
л 14
 
2.9%
х 14
 
2.9%
i 14
 
2.9%
р 13
 
2.7%
Other values (45) 236
48.3%

w3_A04
Text

Missing 

[If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________

Distinct45
Distinct (%)100.0%
Missing107
Missing (%)70.4%
Memory size8.0 KiB
2025-02-26T17:48:12.262816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length460
Median length84
Mean length91.28888889
Min length17

Characters and Unicode

Total characters4108
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st rowАррээ татаад авчихсан хэрнээ нэвтэрч орохгүй байсан
2nd rowУтасны ачааллаас болоод ч юм уу, санамсаргүйгээр гэнэт гараад, асуугдсан цагийн асуулга нь дахин дахин ирээд, тооцогдохгүй байх шиг байсан, юу болсныг нь сайн ойлгоогүй болохоор сайн тайлбарлаж мэдэхгүй байна.
3rd rowIlog ийн settings цэсийг олж дата илгээж чадахгүй байсан.
4th rowТохиргоог хийхэд хүндрэлтэй байсан.
5th rowapp iin tohiruulga data ilgeeh ni utsan dr tohirgoo ni bolohgui baisan
ValueCountFrequency (%)
байсан 27
 
4.4%
нь 12
 
2.0%
байна 7
 
1.2%
хүндрэлтэй 7
 
1.2%
ч 6
 
1.0%
үед 6
 
1.0%
гэж 6
 
1.0%
болохоор 5
 
0.8%
ni 5
 
0.8%
утас 4
 
0.7%
Other values (413) 523
86.0%
2025-02-26T17:48:12.504524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
 
13.7%
а 398
 
9.7%
э 186
 
4.5%
н 174
 
4.2%
г 168
 
4.1%
о 164
 
4.0%
х 163
 
4.0%
й 153
 
3.7%
л 144
 
3.5%
у 126
 
3.1%
Other values (83) 1868
45.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4108
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
564
 
13.7%
а 398
 
9.7%
э 186
 
4.5%
н 174
 
4.2%
г 168
 
4.1%
о 164
 
4.0%
х 163
 
4.0%
й 153
 
3.7%
л 144
 
3.5%
у 126
 
3.1%
Other values (83) 1868
45.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4108
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
564
 
13.7%
а 398
 
9.7%
э 186
 
4.5%
н 174
 
4.2%
г 168
 
4.1%
о 164
 
4.0%
х 163
 
4.0%
й 153
 
3.7%
л 144
 
3.5%
у 126
 
3.1%
Other values (83) 1868
45.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4108
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
564
 
13.7%
а 398
 
9.7%
э 186
 
4.5%
н 174
 
4.2%
г 168
 
4.1%
о 164
 
4.0%
х 163
 
4.0%
й 153
 
3.7%
л 144
 
3.5%
у 126
 
3.1%
Other values (83) 1868
45.5%

w3_A05
Real number (ℝ)

Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.651315789
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:12.555632image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4781291967
Coefficient of variation (CV)0.2895443741
Kurtosis-1.609980622
Mean1.651315789
Median Absolute Deviation (MAD)0
Skewness-0.6413887058
Sum251
Variance0.2286075288
MonotonicityNot monotonic
2025-02-26T17:48:12.594107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 99
65.1%
1 53
34.9%
ValueCountFrequency (%)
1 53
34.9%
2 99
65.1%
ValueCountFrequency (%)
2 99
65.1%
1 53
34.9%

w3_A06
Text

Missing 

[If w3_A05 = 1] What activities could you not place? ________________

Distinct51
Distinct (%)100.0%
Missing101
Missing (%)66.4%
Memory size8.7 KiB
2025-02-26T17:48:12.736926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length360
Median length75
Mean length86.37254902
Min length5

Characters and Unicode

Total characters4405
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st rowХичээл хийх
2nd rowДаалгавраа хийх оноолт байхгүй байсан,хоолны өгөгдлүүд хангалтгүй санагдсан
3rd rowОнлайн сургалтанд суух, семинарын даалгавараа судлах, гэрийн даалгавараа хийх зэрэг карентинтай холбоотойгоор гэртээ хийж буй боловсролын үйлүүдэд тодорхой тохирох хариулт байхгүй байсан. Тийм болохоор ерөнхий утгаар нь л "Давтлага/багийн ажил", "Лекц/семинар/хурал", "ном товхимол унших" "интернэтээр мэдээлэл хайх" зэрэг хариултуудыг ээлжлэн сонгож байсан.
4th rowэмнэлэг явах, гэртээ харих гэх мэт
5th rowХоечр хариултыг зэоэг сонгож чадахгүй. Видео калл /zoom, teams, messenger/ хийж байгаа боловч зорилго чиглэлээ тодорхой бусаар найзуудтайгаа ярих болон лекц семинарын хичээлд оролцож байгаагаа ялгах боломжгүй байсан.
ValueCountFrequency (%)
хийх 17
 
2.6%
байна 17
 
2.6%
хийж 15
 
2.3%
байсан 14
 
2.2%
хичээл 11
 
1.7%
гэх 9
 
1.4%
нь 8
 
1.2%
онлайн 7
 
1.1%
мэт 7
 
1.1%
дасгал 7
 
1.1%
Other values (374) 536
82.7%
2025-02-26T17:48:13.035111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
 
13.6%
а 398
 
9.0%
э 262
 
5.9%
л 213
 
4.8%
г 201
 
4.6%
х 197
 
4.5%
н 188
 
4.3%
о 180
 
4.1%
й 175
 
4.0%
р 156
 
3.5%
Other values (83) 1835
41.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4405
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
600
 
13.6%
а 398
 
9.0%
э 262
 
5.9%
л 213
 
4.8%
г 201
 
4.6%
х 197
 
4.5%
н 188
 
4.3%
о 180
 
4.1%
й 175
 
4.0%
р 156
 
3.5%
Other values (83) 1835
41.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4405
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
600
 
13.6%
а 398
 
9.0%
э 262
 
5.9%
л 213
 
4.8%
г 201
 
4.6%
х 197
 
4.5%
н 188
 
4.3%
о 180
 
4.1%
й 175
 
4.0%
р 156
 
3.5%
Other values (83) 1835
41.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4405
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
600
 
13.6%
а 398
 
9.0%
э 262
 
5.9%
л 213
 
4.8%
г 201
 
4.6%
х 197
 
4.5%
н 188
 
4.3%
о 180
 
4.1%
й 175
 
4.0%
р 156
 
3.5%
Other values (83) 1835
41.7%

w3_A07
Real number (ℝ)

Missing 

Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________

Distinct7
Distinct (%)4.7%
Missing2
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3.306666667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:13.081963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6.55
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.831662855
Coefficient of variation (CV)0.5539302989
Kurtosis-1.066535028
Mean3.306666667
Median Absolute Deviation (MAD)2
Skewness0.2211268459
Sum496
Variance3.354988814
MonotonicityNot monotonic
2025-02-26T17:48:13.120445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 37
24.3%
5 36
23.7%
3 23
15.1%
2 21
13.8%
4 19
12.5%
7 8
 
5.3%
6 6
 
3.9%
(Missing) 2
 
1.3%
ValueCountFrequency (%)
1 37
24.3%
2 21
13.8%
3 23
15.1%
4 19
12.5%
5 36
23.7%
ValueCountFrequency (%)
7 8
 
5.3%
6 6
 
3.9%
5 36
23.7%
4 19
12.5%
3 23
15.1%

w3_A07_other
Text

Missing 

Which of the following components would you like to see implemented?

Distinct8
Distinct (%)100.0%
Missing144
Missing (%)94.7%
Memory size2.1 KiB
2025-02-26T17:48:13.252443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length140
Median length22.5
Mean length54.5
Min length3

Characters and Unicode

Total characters436
Distinct characters50
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowBaihgui
2nd rowНийт цуглуулсан өгөгдлийг 7хоногоор графикаар харуулах,Ингэсгээр юунд илүү цаг зарцуулж байгааг харах боломжтой юм
3rd rowАсуултууд шууд цаг нь болонгуут апп руугаа оролгүй дэлгэц дээрэн гарч ирж байвал илүү амар юм шиг санагдсан.
4th row4.5
5th row3, 4, 5 дугаар сонголтууд
ValueCountFrequency (%)
илүү 2
 
2.9%
цаг 2
 
2.9%
юм 2
 
2.9%
нь 2
 
2.9%
хариултууд 2
 
2.9%
baihgui 1
 
1.5%
нийт 1
 
1.5%
цуглуулсан 1
 
1.5%
өгөгдлийг 1
 
1.5%
7хоногоор 1
 
1.5%
Other values (53) 53
77.9%
2025-02-26T17:48:13.501893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
13.8%
а 44
 
10.1%
у 32
 
7.3%
г 28
 
6.4%
л 23
 
5.3%
э 23
 
5.3%
р 21
 
4.8%
н 17
 
3.9%
д 17
 
3.9%
х 17
 
3.9%
Other values (40) 154
35.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 436
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
60
 
13.8%
а 44
 
10.1%
у 32
 
7.3%
г 28
 
6.4%
л 23
 
5.3%
э 23
 
5.3%
р 21
 
4.8%
н 17
 
3.9%
д 17
 
3.9%
х 17
 
3.9%
Other values (40) 154
35.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 436
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
60
 
13.8%
а 44
 
10.1%
у 32
 
7.3%
г 28
 
6.4%
л 23
 
5.3%
э 23
 
5.3%
р 21
 
4.8%
н 17
 
3.9%
д 17
 
3.9%
х 17
 
3.9%
Other values (40) 154
35.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 436
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
60
 
13.8%
а 44
 
10.1%
у 32
 
7.3%
г 28
 
6.4%
л 23
 
5.3%
э 23
 
5.3%
р 21
 
4.8%
н 17
 
3.9%
д 17
 
3.9%
х 17
 
3.9%
Other values (40) 154
35.3%

w3_A08
Text

Missing 

Other considerations about the experiment________________

Distinct78
Distinct (%)77.2%
Missing51
Missing (%)33.6%
Memory size13.4 KiB
2025-02-26T17:48:13.716541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length824
Median length157
Mean length70.45544554
Min length2

Characters and Unicode

Total characters7116
Distinct characters105
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)69.3%

Sample

1st rowBaihgui
2nd rowBhgue
3rd rowБайхгүй
4th rowТа юу хийж байна вэ бус, Та юу юу хийсэн болон одоо юу хийж байна вэ гэсэн асуулга байвал тухайн асуулга хооронд хийсэн үйлүүд тодорхой болно.
5th rowЗаримдаа хоол болон уух зүйлсийн цэсэн дээр оновчтой хувилбар байгаагүй, мөн шөнө унтаж байхад асуултууд тоогтмол ирж байсан.
ValueCountFrequency (%)
байхгүй 29
 
2.7%
байна 23
 
2.2%
нь 17
 
1.6%
байх 14
 
1.3%
ч 13
 
1.2%
хийж 12
 
1.1%
илүү 12
 
1.1%
юм 9
 
0.8%
санагдсан 9
 
0.8%
байгаа 8
 
0.8%
Other values (609) 913
86.2%
2025-02-26T17:48:13.988552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
968
 
13.6%
а 691
 
9.7%
г 336
 
4.7%
л 335
 
4.7%
э 333
 
4.7%
й 319
 
4.5%
о 308
 
4.3%
н 292
 
4.1%
х 282
 
4.0%
р 243
 
3.4%
Other values (95) 3009
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7116
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
968
 
13.6%
а 691
 
9.7%
г 336
 
4.7%
л 335
 
4.7%
э 333
 
4.7%
й 319
 
4.5%
о 308
 
4.3%
н 292
 
4.1%
х 282
 
4.0%
р 243
 
3.4%
Other values (95) 3009
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7116
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
968
 
13.6%
а 691
 
9.7%
г 336
 
4.7%
л 335
 
4.7%
э 333
 
4.7%
й 319
 
4.5%
о 308
 
4.3%
н 292
 
4.1%
х 282
 
4.0%
р 243
 
3.4%
Other values (95) 3009
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7116
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
968
 
13.6%
а 691
 
9.7%
г 336
 
4.7%
л 335
 
4.7%
э 333
 
4.7%
й 319
 
4.5%
о 308
 
4.3%
н 292
 
4.1%
х 282
 
4.0%
р 243
 
3.4%
Other values (95) 3009
42.3%

w3_B01_1
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.

Distinct5
Distinct (%)3.4%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean3.587837838
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.038991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.183382987
Coefficient of variation (CV)0.3298317929
Kurtosis-1.089174251
Mean3.587837838
Median Absolute Deviation (MAD)1
Skewness-0.3000066737
Sum531
Variance1.400395293
MonotonicityNot monotonic
2025-02-26T17:48:14.078971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 43
28.3%
4 39
25.7%
3 32
21.1%
2 30
19.7%
1 4
 
2.6%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
1 4
 
2.6%
2 30
19.7%
3 32
21.1%
4 39
25.7%
5 43
28.3%
ValueCountFrequency (%)
5 43
28.3%
4 39
25.7%
3 32
21.1%
2 30
19.7%
1 4
 
2.6%

w3_B01_2
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.570469799
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.119099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.366861831
Coefficient of variation (CV)0.3828240842
Kurtosis-1.021111489
Mean3.570469799
Median Absolute Deviation (MAD)1
Skewness-0.4877842721
Sum532
Variance1.868311264
MonotonicityNot monotonic
2025-02-26T17:48:14.159410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 54
35.5%
3 31
20.4%
4 28
18.4%
2 21
 
13.8%
1 15
 
9.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 15
 
9.9%
2 21
 
13.8%
3 31
20.4%
4 28
18.4%
5 54
35.5%
ValueCountFrequency (%)
5 54
35.5%
4 28
18.4%
3 31
20.4%
2 21
 
13.8%
1 15
 
9.9%

w3_B01_3
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean2.939597315
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.199810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.140342456
Coefficient of variation (CV)0.3879247169
Kurtosis-0.6721141624
Mean2.939597315
Median Absolute Deviation (MAD)1
Skewness0.2582089349
Sum438
Variance1.300380918
MonotonicityNot monotonic
2025-02-26T17:48:14.240324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 49
32.2%
2 44
28.9%
4 25
16.4%
5 18
 
11.8%
1 13
 
8.6%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 13
 
8.6%
2 44
28.9%
3 49
32.2%
4 25
16.4%
5 18
 
11.8%
ValueCountFrequency (%)
5 18
 
11.8%
4 25
16.4%
3 49
32.2%
2 44
28.9%
1 13
 
8.6%

w3_B01_4
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.228187919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.279912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8311568409
Coefficient of variation (CV)0.1965751894
Kurtosis1.875751539
Mean4.228187919
Median Absolute Deviation (MAD)1
Skewness-1.166071312
Sum630
Variance0.6908216942
MonotonicityNot monotonic
2025-02-26T17:48:14.321541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 64
42.1%
4 61
40.1%
3 20
 
13.2%
2 2
 
1.3%
1 2
 
1.3%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 2
 
1.3%
2 2
 
1.3%
3 20
 
13.2%
4 61
40.1%
5 64
42.1%
ValueCountFrequency (%)
5 64
42.1%
4 61
40.1%
3 20
 
13.2%
2 2
 
1.3%
1 2
 
1.3%

w3_B01_5
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.758389262
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.361548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.082108844
Coefficient of variation (CV)0.287918246
Kurtosis-0.6946809973
Mean3.758389262
Median Absolute Deviation (MAD)1
Skewness-0.4447414572
Sum560
Variance1.17095955
MonotonicityNot monotonic
2025-02-26T17:48:14.402345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 47
30.9%
4 42
27.6%
3 40
26.3%
2 17
 
11.2%
1 3
 
2.0%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
2 17
 
11.2%
3 40
26.3%
4 42
27.6%
5 47
30.9%
ValueCountFrequency (%)
5 47
30.9%
4 42
27.6%
3 40
26.3%
2 17
 
11.2%
1 3
 
2.0%

w3_B01_6
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.348993289
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.441558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.032748723
Coefficient of variation (CV)0.3083758713
Kurtosis-0.5891266639
Mean3.348993289
Median Absolute Deviation (MAD)1
Skewness-0.1840513402
Sum499
Variance1.066569926
MonotonicityNot monotonic
2025-02-26T17:48:14.482752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 49
32.2%
3 48
31.6%
2 27
17.8%
5 20
13.2%
1 5
 
3.3%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 5
 
3.3%
2 27
17.8%
3 48
31.6%
4 49
32.2%
5 20
13.2%
ValueCountFrequency (%)
5 20
13.2%
4 49
32.2%
3 48
31.6%
2 27
17.8%
1 5
 
3.3%

w3_B01_7
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.395973154
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.522417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.173000265
Coefficient of variation (CV)0.3454091688
Kurtosis-0.8148936431
Mean3.395973154
Median Absolute Deviation (MAD)1
Skewness-0.2807254105
Sum506
Variance1.375929621
MonotonicityNot monotonic
2025-02-26T17:48:14.562083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 44
28.9%
3 39
25.7%
5 30
19.7%
2 27
17.8%
1 9
 
5.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 9
 
5.9%
2 27
17.8%
3 39
25.7%
4 44
28.9%
5 30
19.7%
ValueCountFrequency (%)
5 30
19.7%
4 44
28.9%
3 39
25.7%
2 27
17.8%
1 9
 
5.9%

w3_B01_8
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.832214765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.602167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9614367385
Coefficient of variation (CV)0.2508827917
Kurtosis-0.4661125812
Mean3.832214765
Median Absolute Deviation (MAD)1
Skewness-0.4888438857
Sum571
Variance0.9243606022
MonotonicityNot monotonic
2025-02-26T17:48:14.643782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 58
38.2%
5 41
27.0%
3 35
23.0%
2 14
 
9.2%
1 1
 
0.7%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 1
 
0.7%
2 14
 
9.2%
3 35
23.0%
4 58
38.2%
5 41
27.0%
ValueCountFrequency (%)
5 41
27.0%
4 58
38.2%
3 35
23.0%
2 14
 
9.2%
1 1
 
0.7%

w3_B01_9
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)3.4%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean3.216216216
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.684757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.16374098
Coefficient of variation (CV)0.3618354308
Kurtosis-0.7779192406
Mean3.216216216
Median Absolute Deviation (MAD)1
Skewness-0.1690220597
Sum476
Variance1.354293069
MonotonicityNot monotonic
2025-02-26T17:48:14.724697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 44
28.9%
4 41
27.0%
2 29
19.1%
5 22
14.5%
1 12
 
7.9%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
1 12
 
7.9%
2 29
19.1%
3 44
28.9%
4 41
27.0%
5 22
14.5%
ValueCountFrequency (%)
5 22
14.5%
4 41
27.0%
3 44
28.9%
2 29
19.1%
1 12
 
7.9%

w3_B01_10
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.

Distinct5
Distinct (%)3.4%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean3.52027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.765073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9929656987
Coefficient of variation (CV)0.2820708703
Kurtosis-0.307090829
Mean3.52027027
Median Absolute Deviation (MAD)1
Skewness-0.2681117125
Sum521
Variance0.9859808788
MonotonicityNot monotonic
2025-02-26T17:48:14.805541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 53
34.9%
4 49
32.2%
5 26
17.1%
2 16
 
10.5%
1 4
 
2.6%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
1 4
 
2.6%
2 16
 
10.5%
3 53
34.9%
4 49
32.2%
5 26
17.1%
ValueCountFrequency (%)
5 26
17.1%
4 49
32.2%
3 53
34.9%
2 16
 
10.5%
1 4
 
2.6%

w3_B01_11
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.44966443
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.845318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.105491462
Coefficient of variation (CV)0.3204634784
Kurtosis-0.6892315146
Mean3.44966443
Median Absolute Deviation (MAD)1
Skewness-0.1751062218
Sum514
Variance1.222111373
MonotonicityNot monotonic
2025-02-26T17:48:14.886621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 52
34.2%
4 37
24.3%
5 32
21.1%
2 22
14.5%
1 6
 
3.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 6
 
3.9%
2 22
14.5%
3 52
34.2%
4 37
24.3%
5 32
21.1%
ValueCountFrequency (%)
5 32
21.1%
4 37
24.3%
3 52
34.2%
2 22
14.5%
1 6
 
3.9%

w3_B01_12
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.22147651
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:14.926229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9575139374
Coefficient of variation (CV)0.2268196767
Kurtosis1.155601218
Mean4.22147651
Median Absolute Deviation (MAD)0
Skewness-1.207467715
Sum629
Variance0.9168329403
MonotonicityNot monotonic
2025-02-26T17:48:14.968437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 75
49.3%
4 42
27.6%
3 25
 
16.4%
2 4
 
2.6%
1 3
 
2.0%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
2 4
 
2.6%
3 25
 
16.4%
4 42
27.6%
5 75
49.3%
ValueCountFrequency (%)
5 75
49.3%
4 42
27.6%
3 25
 
16.4%
2 4
 
2.6%
1 3
 
2.0%

w3_B01_13
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.288590604
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.010348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.306404712
Coefficient of variation (CV)0.3972536776
Kurtosis-0.9894776644
Mean3.288590604
Median Absolute Deviation (MAD)1
Skewness-0.2557686053
Sum490
Variance1.70669327
MonotonicityNot monotonic
2025-02-26T17:48:15.051277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 40
26.3%
4 34
22.4%
5 34
22.4%
2 23
15.1%
1 18
11.8%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 18
11.8%
2 23
15.1%
3 40
26.3%
4 34
22.4%
5 34
22.4%
ValueCountFrequency (%)
5 34
22.4%
4 34
22.4%
3 40
26.3%
2 23
15.1%
1 18
11.8%

w3_B01_14
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.140939597
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.090772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.230359946
Coefficient of variation (CV)0.3917171624
Kurtosis-0.8748915859
Mean3.140939597
Median Absolute Deviation (MAD)1
Skewness-0.05201533431
Sum468
Variance1.513785598
MonotonicityNot monotonic
2025-02-26T17:48:15.131556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 48
31.6%
4 30
19.7%
2 29
19.1%
5 26
17.1%
1 16
 
10.5%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 16
 
10.5%
2 29
19.1%
3 48
31.6%
4 30
19.7%
5 26
17.1%
ValueCountFrequency (%)
5 26
17.1%
4 30
19.7%
3 48
31.6%
2 29
19.1%
1 16
 
10.5%

w3_B01_15
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.

Distinct4
Distinct (%)2.7%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.66442953
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.171383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8187889727
Coefficient of variation (CV)0.223442412
Kurtosis-0.6022103602
Mean3.66442953
Median Absolute Deviation (MAD)1
Skewness0.01893638505
Sum546
Variance0.6704153818
MonotonicityNot monotonic
2025-02-26T17:48:15.209241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 60
39.5%
3 56
36.8%
5 24
 
15.8%
2 9
 
5.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
2 9
 
5.9%
3 56
36.8%
4 60
39.5%
5 24
 
15.8%
ValueCountFrequency (%)
5 24
 
15.8%
4 60
39.5%
3 56
36.8%
2 9
 
5.9%

w3_B01_16
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.248322148
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.247765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.350205391
Coefficient of variation (CV)0.4156624035
Kurtosis-1.214425033
Mean3.248322148
Median Absolute Deviation (MAD)1
Skewness-0.1287729387
Sum484
Variance1.823054598
MonotonicityNot monotonic
2025-02-26T17:48:15.290492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 37
24.3%
2 33
21.7%
3 32
21.1%
4 30
19.7%
1 17
11.2%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 17
11.2%
2 33
21.7%
3 32
21.1%
4 30
19.7%
5 37
24.3%
ValueCountFrequency (%)
5 37
24.3%
4 30
19.7%
3 32
21.1%
2 33
21.7%
1 17
11.2%

w3_B01_17
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean2.832214765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.331187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.291357366
Coefficient of variation (CV)0.455953193
Kurtosis-1.006841426
Mean2.832214765
Median Absolute Deviation (MAD)1
Skewness0.2414949743
Sum422
Variance1.667603845
MonotonicityNot monotonic
2025-02-26T17:48:15.372113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 42
27.6%
3 36
23.7%
1 25
16.4%
4 25
16.4%
5 21
13.8%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 25
16.4%
2 42
27.6%
3 36
23.7%
4 25
16.4%
5 21
13.8%
ValueCountFrequency (%)
5 21
13.8%
4 25
16.4%
3 36
23.7%
2 42
27.6%
1 25
16.4%

w3_B01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.375838926
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.411774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.093447993
Coefficient of variation (CV)0.3239040776
Kurtosis-0.6880323051
Mean3.375838926
Median Absolute Deviation (MAD)1
Skewness-0.1017737682
Sum503
Variance1.195628514
MonotonicityNot monotonic
2025-02-26T17:48:15.453045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 53
34.9%
4 37
24.3%
5 28
18.4%
2 25
16.4%
1 6
 
3.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 6
 
3.9%
2 25
16.4%
3 53
34.9%
4 37
24.3%
5 28
18.4%
ValueCountFrequency (%)
5 28
18.4%
4 37
24.3%
3 53
34.9%
2 25
16.4%
1 6
 
3.9%

w3_B01_19
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.214765101
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.492976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.177283626
Coefficient of variation (CV)0.3662113992
Kurtosis-0.8063396391
Mean3.214765101
Median Absolute Deviation (MAD)1
Skewness-0.02366683566
Sum479
Variance1.385996735
MonotonicityNot monotonic
2025-02-26T17:48:15.533645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 51
33.6%
4 30
19.7%
2 30
19.7%
5 27
17.8%
1 11
 
7.2%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 11
 
7.2%
2 30
19.7%
3 51
33.6%
4 30
19.7%
5 27
17.8%
ValueCountFrequency (%)
5 27
17.8%
4 30
19.7%
3 51
33.6%
2 30
19.7%
1 11
 
7.2%

w3_B01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.382550336
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.574633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.183200626
Coefficient of variation (CV)0.3497954233
Kurtosis-0.6390099077
Mean3.382550336
Median Absolute Deviation (MAD)1
Skewness-0.310626405
Sum504
Variance1.399963722
MonotonicityNot monotonic
2025-02-26T17:48:15.615487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 49
32.2%
4 38
25.0%
5 31
20.4%
2 19
 
12.5%
1 12
 
7.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 12
 
7.9%
2 19
 
12.5%
3 49
32.2%
4 38
25.0%
5 31
20.4%
ValueCountFrequency (%)
5 31
20.4%
4 38
25.0%
3 49
32.2%
2 19
 
12.5%
1 12
 
7.9%

w3_B01_21
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.

Distinct5
Distinct (%)3.4%
Missing5
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean3.462585034
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.656897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.09339304
Coefficient of variation (CV)0.3157736285
Kurtosis-0.6247782624
Mean3.462585034
Median Absolute Deviation (MAD)1
Skewness-0.3015985956
Sum509
Variance1.19550834
MonotonicityNot monotonic
2025-02-26T17:48:15.696999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 47
30.9%
3 43
28.3%
5 28
18.4%
2 23
15.1%
1 6
 
3.9%
(Missing) 5
 
3.3%
ValueCountFrequency (%)
1 6
 
3.9%
2 23
15.1%
3 43
28.3%
4 47
30.9%
5 28
18.4%
ValueCountFrequency (%)
5 28
18.4%
4 47
30.9%
3 43
28.3%
2 23
15.1%
1 6
 
3.9%

w3_B01_22
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.489932886
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.736484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.043755237
Coefficient of variation (CV)0.2990760199
Kurtosis-0.6119686497
Mean3.489932886
Median Absolute Deviation (MAD)1
Skewness-0.2981695169
Sum520
Variance1.089424995
MonotonicityNot monotonic
2025-02-26T17:48:15.839343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 53
34.9%
3 42
27.6%
5 26
17.1%
2 24
15.8%
1 4
 
2.6%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 4
 
2.6%
2 24
15.8%
3 42
27.6%
4 53
34.9%
5 26
17.1%
ValueCountFrequency (%)
5 26
17.1%
4 53
34.9%
3 42
27.6%
2 24
15.8%
1 4
 
2.6%

w3_B01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.

Distinct5
Distinct (%)3.4%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean3.533783784
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.879336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.026290729
Coefficient of variation (CV)0.2904226155
Kurtosis-0.7935831567
Mean3.533783784
Median Absolute Deviation (MAD)1
Skewness-0.1878610697
Sum523
Variance1.05327266
MonotonicityNot monotonic
2025-02-26T17:48:15.920392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 49
32.2%
3 44
28.9%
5 29
19.1%
2 24
15.8%
1 2
 
1.3%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
1 2
 
1.3%
2 24
15.8%
3 44
28.9%
4 49
32.2%
5 29
19.1%
ValueCountFrequency (%)
5 29
19.1%
4 49
32.2%
3 44
28.9%
2 24
15.8%
1 2
 
1.3%

w3_B01_24
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.

Distinct4
Distinct (%)2.7%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.026845638
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:15.958517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.4
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8772369762
Coefficient of variation (CV)0.2178471824
Kurtosis-0.5046372373
Mean4.026845638
Median Absolute Deviation (MAD)1
Skewness-0.5394703043
Sum600
Variance0.7695447125
MonotonicityNot monotonic
2025-02-26T17:48:15.996447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 59
38.8%
5 51
33.6%
3 31
20.4%
2 8
 
5.3%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
2 8
 
5.3%
3 31
20.4%
4 59
38.8%
5 51
33.6%
ValueCountFrequency (%)
5 51
33.6%
4 59
38.8%
3 31
20.4%
2 8
 
5.3%

w3_B01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.

Distinct5
Distinct (%)3.4%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean3.851351351
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.034365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8834445947
Coefficient of variation (CV)0.2293856141
Kurtosis-0.3039846149
Mean3.851351351
Median Absolute Deviation (MAD)1
Skewness-0.363551051
Sum570
Variance0.7804743519
MonotonicityNot monotonic
2025-02-26T17:48:16.075439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 59
38.8%
3 43
28.3%
5 38
25.0%
2 7
 
4.6%
1 1
 
0.7%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
1 1
 
0.7%
2 7
 
4.6%
3 43
28.3%
4 59
38.8%
5 38
25.0%
ValueCountFrequency (%)
5 38
25.0%
4 59
38.8%
3 43
28.3%
2 7
 
4.6%
1 1
 
0.7%

w3_B01_26
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.026845638
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.116431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9075234248
Coefficient of variation (CV)0.2253683172
Kurtosis-0.2346543382
Mean4.026845638
Median Absolute Deviation (MAD)1
Skewness-0.6031007037
Sum600
Variance0.8235987666
MonotonicityNot monotonic
2025-02-26T17:48:16.156955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 54
35.5%
4 53
34.9%
3 35
23.0%
2 6
 
3.9%
1 1
 
0.7%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 1
 
0.7%
2 6
 
3.9%
3 35
23.0%
4 53
34.9%
5 54
35.5%
ValueCountFrequency (%)
5 54
35.5%
4 53
34.9%
3 35
23.0%
2 6
 
3.9%
1 1
 
0.7%

w3_B01_27
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.476510067
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.197567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.069123742
Coefficient of variation (CV)0.3075278718
Kurtosis-0.3573912853
Mean3.476510067
Median Absolute Deviation (MAD)1
Skewness-0.2743420609
Sum518
Variance1.143025576
MonotonicityNot monotonic
2025-02-26T17:48:16.237918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 57
37.5%
4 40
26.3%
5 30
19.7%
2 15
 
9.9%
1 7
 
4.6%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 7
 
4.6%
2 15
 
9.9%
3 57
37.5%
4 40
26.3%
5 30
19.7%
ValueCountFrequency (%)
5 30
19.7%
4 40
26.3%
3 57
37.5%
2 15
 
9.9%
1 7
 
4.6%

w3_B01_28
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.543624161
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.277570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.16528167
Coefficient of variation (CV)0.3288389562
Kurtosis-0.5777340215
Mean3.543624161
Median Absolute Deviation (MAD)1
Skewness-0.4444630246
Sum528
Variance1.357881371
MonotonicityNot monotonic
2025-02-26T17:48:16.318194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 43
28.3%
3 42
27.6%
5 37
24.3%
2 18
11.8%
1 9
 
5.9%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 9
 
5.9%
2 18
11.8%
3 42
27.6%
4 43
28.3%
5 37
24.3%
ValueCountFrequency (%)
5 37
24.3%
4 43
28.3%
3 42
27.6%
2 18
11.8%
1 9
 
5.9%

w3_B01_29
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.570469799
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.357368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8075240232
Coefficient of variation (CV)0.1766829361
Kurtosis3.402655162
Mean4.570469799
Median Absolute Deviation (MAD)0
Skewness-1.948679651
Sum681
Variance0.6520950481
MonotonicityNot monotonic
2025-02-26T17:48:16.398337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 109
71.7%
4 21
 
13.8%
3 15
 
9.9%
2 3
 
2.0%
1 1
 
0.7%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 1
 
0.7%
2 3
 
2.0%
3 15
 
9.9%
4 21
 
13.8%
5 109
71.7%
ValueCountFrequency (%)
5 109
71.7%
4 21
 
13.8%
3 15
 
9.9%
2 3
 
2.0%
1 1
 
0.7%

w3_B01_30
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.

Distinct4
Distinct (%)2.7%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.503355705
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.436499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7499924421
Coefficient of variation (CV)0.1665407956
Kurtosis0.2590356554
Mean4.503355705
Median Absolute Deviation (MAD)0
Skewness-1.229157253
Sum671
Variance0.5624886632
MonotonicityNot monotonic
2025-02-26T17:48:16.473692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 97
63.8%
4 31
 
20.4%
3 20
 
13.2%
2 1
 
0.7%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
2 1
 
0.7%
3 20
 
13.2%
4 31
 
20.4%
5 97
63.8%
ValueCountFrequency (%)
5 97
63.8%
4 31
 
20.4%
3 20
 
13.2%
2 1
 
0.7%

w3_B01_31
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.

Distinct4
Distinct (%)2.7%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.88590604
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.509786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.941033082
Coefficient of variation (CV)0.2421656809
Kurtosis-0.6820442903
Mean3.88590604
Median Absolute Deviation (MAD)1
Skewness-0.4595711299
Sum579
Variance0.8855432614
MonotonicityNot monotonic
2025-02-26T17:48:16.546916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 58
38.2%
5 44
28.9%
3 33
21.7%
2 14
 
9.2%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
2 14
 
9.2%
3 33
21.7%
4 58
38.2%
5 44
28.9%
ValueCountFrequency (%)
5 44
28.9%
4 58
38.2%
3 33
21.7%
2 14
 
9.2%

w3_B01_32
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.939597315
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.585341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.021579249
Coefficient of variation (CV)0.2593105759
Kurtosis0.1352618729
Mean3.939597315
Median Absolute Deviation (MAD)1
Skewness-0.7642918776
Sum587
Variance1.043624161
MonotonicityNot monotonic
2025-02-26T17:48:16.625456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 54
35.5%
4 47
30.9%
3 37
24.3%
2 7
 
4.6%
1 4
 
2.6%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 4
 
2.6%
2 7
 
4.6%
3 37
24.3%
4 47
30.9%
5 54
35.5%
ValueCountFrequency (%)
5 54
35.5%
4 47
30.9%
3 37
24.3%
2 7
 
4.6%
1 4
 
2.6%

w3_B01_33
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.906040268
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.665717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.002310047
Coefficient of variation (CV)0.2566051496
Kurtosis0.134927084
Mean3.906040268
Median Absolute Deviation (MAD)1
Skewness-0.7887313186
Sum582
Variance1.004625431
MonotonicityNot monotonic
2025-02-26T17:48:16.707452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 59
38.8%
5 47
30.9%
3 28
18.4%
2 12
 
7.9%
1 3
 
2.0%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
2 12
 
7.9%
3 28
18.4%
4 59
38.8%
5 47
30.9%
ValueCountFrequency (%)
5 47
30.9%
4 59
38.8%
3 28
18.4%
2 12
 
7.9%
1 3
 
2.0%

w3_B01_34
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.

Distinct5
Distinct (%)3.4%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.013422819
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.747592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9794274195
Coefficient of variation (CV)0.2440379356
Kurtosis-0.3788302183
Mean4.013422819
Median Absolute Deviation (MAD)1
Skewness-0.683141511
Sum598
Variance0.95927807
MonotonicityNot monotonic
2025-02-26T17:48:16.789403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 58
38.2%
4 48
31.6%
3 31
20.4%
2 11
 
7.2%
1 1
 
0.7%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 1
 
0.7%
2 11
 
7.2%
3 31
20.4%
4 48
31.6%
5 58
38.2%
ValueCountFrequency (%)
5 58
38.2%
4 48
31.6%
3 31
20.4%
2 11
 
7.2%
1 1
 
0.7%

w3_B01_35
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.

Distinct5
Distinct (%)3.4%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean3.885135135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.829478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.053169164
Coefficient of variation (CV)0.2710765848
Kurtosis-0.2298139668
Mean3.885135135
Median Absolute Deviation (MAD)1
Skewness-0.7236921912
Sum575
Variance1.109165288
MonotonicityNot monotonic
2025-02-26T17:48:16.870389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 52
34.2%
5 50
32.9%
3 28
18.4%
2 15
 
9.9%
1 3
 
2.0%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
1 3
 
2.0%
2 15
 
9.9%
3 28
18.4%
4 52
34.2%
5 50
32.9%
ValueCountFrequency (%)
5 50
32.9%
4 52
34.2%
3 28
18.4%
2 15
 
9.9%
1 3
 
2.0%

w3_C01
Real number (ℝ)

Missing 

As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No

Distinct2
Distinct (%)1.3%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean1.073825503
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.910563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2623686217
Coefficient of variation (CV)0.244330779
Kurtosis8.963128139
Mean1.073825503
Median Absolute Deviation (MAD)0
Skewness3.292869294
Sum160
Variance0.06883729367
MonotonicityNot monotonic
2025-02-26T17:48:16.950010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 138
90.8%
2 11
 
7.2%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 138
90.8%
2 11
 
7.2%
ValueCountFrequency (%)
2 11
 
7.2%
1 138
90.8%

w3_C02
Real number (ℝ)

Missing 

What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0

Distinct4
Distinct (%)2.9%
Missing14
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean1.992753623
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:16.985598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5470074769
Coefficient of variation (CV)0.2744982975
Kurtosis2.498000293
Mean1.992753623
Median Absolute Deviation (MAD)0
Skewness0.5381030854
Sum275
Variance0.2992171797
MonotonicityNot monotonic
2025-02-26T17:48:17.022359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 103
67.8%
1 19
 
12.5%
3 14
 
9.2%
4 2
 
1.3%
(Missing) 14
 
9.2%
ValueCountFrequency (%)
1 19
 
12.5%
2 103
67.8%
3 14
 
9.2%
4 2
 
1.3%
ValueCountFrequency (%)
4 2
 
1.3%
3 14
 
9.2%
2 103
67.8%
1 19
 
12.5%

w3_D01
Real number (ℝ)

Missing 

In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities

Distinct2
Distinct (%)1.3%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean1.10738255
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:17.061186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3106431775
Coefficient of variation (CV)0.2805202027
Kurtosis4.626604077
Mean1.10738255
Median Absolute Deviation (MAD)0
Skewness2.562162716
Sum165
Variance0.09649918375
MonotonicityNot monotonic
2025-02-26T17:48:17.099151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 133
87.5%
2 16
 
10.5%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
1 133
87.5%
2 16
 
10.5%
ValueCountFrequency (%)
2 16
 
10.5%
1 133
87.5%

w3_interviewtime
Real number (ℝ)

Unique 

interviewtime

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean768.6248684
Minimum118.98
Maximum9201.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:17.145577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum118.98
5-th percentile276.4935
Q1395.7675
median513.675
Q3745.63
95-th percentile1840.662
Maximum9201.52
Range9082.54
Interquartile range (IQR)349.8625

Descriptive statistics

Standard deviation1024.154896
Coefficient of variation (CV)1.332450897
Kurtosis42.1189222
Mean768.6248684
Median Absolute Deviation (MAD)153.405
Skewness6.004217322
Sum116830.98
Variance1048893.251
MonotonicityNot monotonic
2025-02-26T17:48:17.194474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
436.32 1
 
0.7%
390.05 1
 
0.7%
364.45 1
 
0.7%
813.27 1
 
0.7%
1150.6 1
 
0.7%
268.59 1
 
0.7%
1497.81 1
 
0.7%
330.76 1
 
0.7%
446.73 1
 
0.7%
432.15 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
118.98 1
0.7%
166.48 1
0.7%
186.23 1
0.7%
190.43 1
0.7%
190.72 1
0.7%
ValueCountFrequency (%)
9201.52 1
0.7%
7325.92 1
0.7%
4879.68 1
0.7%
2354.44 1
0.7%
2246.46 1
0.7%

w3_GT_A
Real number (ℝ)

Unique 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.6416447
Minimum26.1
Maximum1666.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:17.242588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum26.1
5-th percentile64.1735
Q1110.365
median160.395
Q3278.4125
95-th percentile726.363
Maximum1666.39
Range1640.29
Interquartile range (IQR)168.0475

Descriptive statistics

Standard deviation253.5896223
Coefficient of variation (CV)1.040830366
Kurtosis12.5792107
Mean243.6416447
Median Absolute Deviation (MAD)67.41
Skewness3.200098856
Sum37033.53
Variance64307.69653
MonotonicityNot monotonic
2025-02-26T17:48:17.293588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125.75 1
 
0.7%
108.12 1
 
0.7%
41.51 1
 
0.7%
418.17 1
 
0.7%
298.17 1
 
0.7%
110.32 1
 
0.7%
131.45 1
 
0.7%
107.02 1
 
0.7%
121.38 1
 
0.7%
132.41 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
26.1 1
0.7%
37.25 1
0.7%
41.51 1
0.7%
52.08 1
0.7%
52.32 1
0.7%
ValueCountFrequency (%)
1666.39 1
0.7%
1614.57 1
0.7%
1073.4 1
0.7%
1021.77 1
0.7%
1015.99 1
0.7%

w3_GT_B
Real number (ℝ)

Missing 

Distinct149
Distinct (%)100.0%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean360.324698
Minimum41.04
Maximum8612.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:17.344680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum41.04
5-th percentile119.864
Q1177.73
median216.18
Q3282.62
95-th percentile813.688
Maximum8612.55
Range8571.51
Interquartile range (IQR)104.89

Descriptive statistics

Standard deviation776.1805449
Coefficient of variation (CV)2.15411419
Kurtosis89.67666897
Mean360.324698
Median Absolute Deviation (MAD)52.89
Skewness8.900077056
Sum53688.38
Variance602456.2382
MonotonicityNot monotonic
2025-02-26T17:48:17.395912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.46 1
 
0.7%
197.04 1
 
0.7%
733.8 1
 
0.7%
100.85 1
 
0.7%
1187.82 1
 
0.7%
122.84 1
 
0.7%
227.09 1
 
0.7%
165.27 1
 
0.7%
231.53 1
 
0.7%
193.05 1
 
0.7%
Other values (139) 139
91.4%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
41.04 1
0.7%
56.46 1
0.7%
59.45 1
0.7%
67.99 1
0.7%
100.85 1
0.7%
ValueCountFrequency (%)
8612.55 1
0.7%
3796.08 1
0.7%
1764.01 1
0.7%
1531.62 1
0.7%
1187.82 1
0.7%

w3_GT_C
Real number (ℝ)

Missing 

Distinct148
Distinct (%)99.3%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean146.7547651
Minimum11.92
Maximum6851.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:17.445051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum11.92
5-th percentile15.022
Q147.81
median75.33
Q3108.18
95-th percentile250.182
Maximum6851.31
Range6839.39
Interquartile range (IQR)60.37

Descriptive statistics

Standard deviation577.2330241
Coefficient of variation (CV)3.93331708
Kurtosis125.6160227
Mean146.7547651
Median Absolute Deviation (MAD)30.9
Skewness10.92571409
Sum21866.46
Variance333197.9641
MonotonicityNot monotonic
2025-02-26T17:48:17.559700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.61 2
 
1.3%
48.43 1
 
0.7%
14.82 1
 
0.7%
77.7 1
 
0.7%
149.65 1
 
0.7%
86.52 1
 
0.7%
44.43 1
 
0.7%
152.74 1
 
0.7%
84.05 1
 
0.7%
84.66 1
 
0.7%
Other values (138) 138
90.8%
(Missing) 3
 
2.0%
ValueCountFrequency (%)
11.92 1
0.7%
12.59 1
0.7%
12.75 1
0.7%
12.98 1
0.7%
14.25 1
0.7%
ValueCountFrequency (%)
6851.31 1
0.7%
1910.99 1
0.7%
415.64 1
0.7%
412.81 1
0.7%
388.65 1
0.7%

w3_GT_D
Real number (ℝ)

Missing 

Distinct148
Distinct (%)100.0%
Missing4
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean28.38412162
Minimum5.92
Maximum254.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-02-26T17:48:17.612718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.92
5-th percentile11.958
Q117.3925
median23.8
Q332.0875
95-th percentile50.711
Maximum254.34
Range248.42
Interquartile range (IQR)14.695

Descriptive statistics

Standard deviation26.20015186
Coefficient of variation (CV)0.9230566376
Kurtosis45.8356635
Mean28.38412162
Median Absolute Deviation (MAD)7.48
Skewness6.070894486
Sum4200.85
Variance686.4479577
MonotonicityNot monotonic
2025-02-26T17:48:17.665675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.58 1
 
0.7%
32.11 1
 
0.7%
12.99 1
 
0.7%
25.8 1
 
0.7%
16.85 1
 
0.7%
13.6 1
 
0.7%
24.06 1
 
0.7%
20.4 1
 
0.7%
17.25 1
 
0.7%
42.88 1
 
0.7%
Other values (138) 138
90.8%
(Missing) 4
 
2.6%
ValueCountFrequency (%)
5.92 1
0.7%
8.18 1
0.7%
8.6 1
0.7%
9.95 1
0.7%
10.22 1
0.7%
ValueCountFrequency (%)
254.34 1
0.7%
185.88 1
0.7%
92.26 1
0.7%
78.74 1
0.7%
63.77 1
0.7%